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- Tasks: Join us as a Data Scientist to tackle real-world problems and engage with clients.
- Company: Dataiku is a pioneering AI company based in Paris, transforming data into actionable insights.
- Benefits: Enjoy a collaborative culture, opportunities for growth, and the chance to shape the future of AI.
- Why this job: Make a significant impact while learning cutting-edge technologies in a supportive environment.
- Qualifications: 2+ years of experience with Python, SQL, and building ML models; strong communication skills required.
- Other info: We value diversity and are an equal opportunity employer committed to fairness.
The predicted salary is between 28800 - 42000 £ per year.
At Dataiku, we’re not just adapting to the AI revolution, we’re leading it. Since our beginning in Paris in 2013, we’ve been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we’re the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as the non-technical skills are important, so too are the technical. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team uses mostly Python and SQL, with occasional work in other languages (e.g., R, Pyspark, JavaScript, etc.). An ideal candidate is excited to learn complex new technologies and modeling techniques while being able to explain their work to other data scientists and clients.
Key Areas of Responsibility (What You’ll Do)
- Scope and co-develop production-level data science projects with our customers across different industries and use cases
- Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
- Provide strategic input to the customer and account teams that help make our customers successful.
- Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
- Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
Experience (What We’re Looking For):
- Curiosity and a desire to learn new topics and skills
- Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
- The ability to clearly explain complex topics to technical as well as non-technical audiences
- Over 2 years of experience with Python and SQL
- Over 2 years of experience with building ML models and using ML tools (e.g., sklearn)
- Familiarity with data visualization in Python, R
- Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Bonus points for any of these:
- Experience with Consulting and/or Customer-facing Data Science roles
- Experience with Data Engineering or MLOps
- Experience developing WebApps in Javascript, RShiny, or Dash
- Experience building APIs
- Experience using enterprise data science tools
- Passion for teaching or public speaking
What are you waiting for!
At Dataiku, you’ll be part of a journey to shape the ever-evolving world of AI. We’re not just building a product; we’re crafting the future of AI. If you’re ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can’t wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: #J-18808-Ljbffr
Data Scientist employer: Dataiku
Contact Detail:
Dataiku Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the Dataiku platform before applying. Understanding its features and capabilities will not only help you during the interview but also show your genuine interest in the role.
✨Tip Number 2
Brush up on your Python and SQL skills, as these are essential for the role. Consider working on personal projects or contributing to open-source projects that utilize these languages to demonstrate your expertise.
✨Tip Number 3
Prepare to discuss your experience with machine learning models and tools. Be ready to explain your thought process and the impact of your work on previous projects, especially in a customer-facing context.
✨Tip Number 4
Showcase your ability to communicate complex topics clearly. Practice explaining technical concepts to non-technical audiences, as this skill is crucial for success in the Data Scientist role at Dataiku.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the unique responsibilities of a Data Scientist at Dataiku. Familiarize yourself with their platform and how it integrates with various tools and technologies.
Highlight Relevant Experience: In your application, emphasize your experience with Python, SQL, and building ML models. Be specific about your projects and how they relate to the responsibilities outlined in the job description.
Showcase Soft Skills: Dataiku values empathy and the ability to explain complex topics clearly. Include examples in your application that demonstrate your communication skills and your eagerness to share knowledge with others.
Tailor Your Application: Customize your CV and cover letter to reflect the key areas of responsibility and experience that Dataiku is looking for. Use keywords from the job description to ensure your application stands out.
How to prepare for a job interview at Dataiku
✨Show Your Curiosity
Demonstrate your eagerness to learn new technologies and modeling techniques. Prepare examples of how you've tackled complex problems in the past and be ready to discuss what you learned from those experiences.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. Since the role involves client-facing interactions, being able to convey technical information to non-technical audiences is crucial.
✨Highlight Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and any other relevant tools or languages. Share specific projects where you've built ML models or developed custom plugins, showcasing your hands-on experience.
✨Emphasize Collaboration and Empathy
Dataiku values teamwork and support. Share examples of how you've worked collaboratively with others, whether in a consulting role or on team projects, and highlight your willingness to share knowledge and help others succeed.
